Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search. (arXiv:2210.01701v1 [cs.IR])

Evaluating Research Dataset Recommendations in a Living Lab. (arXiv:2209.14843v1 [cs.IR])

Mr. Right: Multimodal Retrieval on Representation of ImaGe witH Text. (arXiv:2209.13764v1 [cs.IR])

This is what a pandemic looks like: Visual framing of COVID-19 on search engines. (arXiv:2209.11120v1 [cs.IR])

Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. (arXiv:2209.07584v1 [cs.IR])

Answering Count Questions with Structured Answers from Text. (arXiv:2209.07250v1 [cs.IR])

Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. (arXiv:2209.06691v1 [cs.IR])

Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?. (arXiv:2209.06583v1 [cs.IR])

Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models. (arXiv:2209.06506v1 [cs.IR])

SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval. (arXiv:2209.05917v1 [cs.IR])

Data Management Challenges for Internet-scale 3D Search Engines. (arXiv:2209.03913v1 [cs.IR])

SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. (arXiv:2209.00625v1 [cs.IR])

Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles. (arXiv:2209.00446v1 [cs.IR])

Universal Multi-Modality Retrieval with One Unified Embedding Space. (arXiv:2209.00179v1 [cs.IR])

LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. (arXiv:2208.14754v1 [cs.IR])

Rethinking Conversational Recommendations: Is Decision Tree All You Need?. (arXiv:2208.14614v1 [cs.IR])

A topic-aware graph neural network model for knowledge base updating. (arXiv:2208.14601v1 [cs.IR])

Evaluating Conversational Recommender Systems. (arXiv:2208.12061v1 [cs.IR])

Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation. (arXiv:2208.11628v1 [cs.IR])

VILT: Video Instructions Linking for Complex Tasks. (arXiv:2208.10858v1 [cs.IR])

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The "unofficial" Information Retrieval Mastodon Instance.

Goal: Make a viable and valuable social space for anyone working in Information Retrieval and related scientific research.

Everyone welcome but expect some level of geekiness on the instance and federated timelines.